Our Mission

At ragleaf, we believe that AI systems should be trustworthy and transparent. Our mission is to help developers build RAG applications that provide accurate, well-cited, and verifiable information.

We're committed to making RAG systems more reliable by ensuring that every generated response is properly grounded in source material, with citations that can be verified and trusted.

Why We Built This

As RAG systems become more prevalent in enterprise applications, customer support, and research tools, ensuring the quality and reliability of generated responses is critical. We created ragleaf to solve the common challenges of:

• Citation accuracy and consistency
• Hallucination detection and prevention
• Retrieval pipeline optimization
• Response grounding verification

Our Team

We're a team of AI researchers, engineers, and developers passionate about making AI more reliable and trustworthy. Our expertise spans:

• Natural Language Processing
• Information Retrieval
• Production ML Systems
• Enterprise Software Development

Our Values

Transparency: We believe in open communication about how our tools work and their limitations.

Reliability: We build tools that developers can depend on in production environments.

Innovation: We continuously improve our technology to stay ahead of emerging challenges in RAG systems.

Community: We actively engage with and support the developer community building RAG applications.

Join Us

We're always looking for talented individuals who share our passion for reliable AI systems. Check out our careers page for open positions.

Contact

Have questions or want to learn more? Reach out to us at hello@ragleaf.dev or visit our contact page.